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Wolfson Institute of Population Health
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Dr Petroula Proitsi, MSc in Human Molecular Genetics, MSc in Medical Statistics, PhD in Neuroscience

Petroula

Reader in Genetic Epidemiology, Deputy Lead for the Digital and Health Data Science Theme at the WIPH

Email: p.proitsi@qmul.ac.uk

Profile

I trained in Biological Sciences (BSc) and Human Molecular Genetics (MSc) and completed a PhD in Neuroscience at King’s College London. During my first post-doctoral fellowship, funded by Alzheimer’s Research UK at King’s College London, I completed an MSc in Medical Statistics at the London School of Hygiene and Tropical Medicine. I was then awarded an EMBO Travel Fellowship to visit the University of Hong Kong. Subsequently, I received an Alzheimer’s Society Research Fellowship, spending one year at the University of Hong Kong before moving back to King’s College London. This was followed by a Springboard Fellowship at the MRC Centre for Lifelong Health and Ageing at UCL and an Alzheimer’s Research UK Senior Research Fellowship at King’s College London, after which I moved to QMUL.

My work focuses on integrating data across different biological layers, such as genetics, proteomics, and metabolomics, to improve early detection and disentangle causal pathways in dementia and other neurodegenerative diseases.

Outside of work, I enjoy spending time with my daughters, running, doing yoga, and cooking.

Research

Research Interests:

Causal inference in dementia and neurodegenerative diseases

Early dementia detection

Multi-omics, Biomarkers

Publications

  • Jacobs BM, Vickaryous N, Giovannoni G et al. (2024). Plasma proteomic profiles of UK Biobank participants with multiple sclerosis. nameOfConference


  • Ranson JM, Al Khleifat A, Lyall DM et al. (2022). The Deep Dementia Phenotyping (DEMON) Network: A global platform for innovation using data science and artificial intelligence. nameOfConference


    QMRO: qmroHref
  • Consortium TB, Anttila V, Bulik-Sullivan B et al. (2018). Analysis of shared heritability in common disorders of the brain. nameOfConference


  • Ostergaard SD, Mukherjee S, Sharp SJ et al. (2017). ASSOCIATIONS BETWEEN POTENTIALLY MODIFIABLE RISK FACTORS AND ALZHEIMER DISEASE: A MENDELIAN RANDOMIZATION STUDY. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Condliffe D, Wong A, Troakes C et al. (2014). Cross-region reduction in 5-hydroxymethylcytosine in Alzheimer's disease brain. nameOfConference


    QMRO: qmroHref
  • Lambert J-C, Ibrahim-Verbaas CA, Harold D et al. (2013). Meta-analysis of 74,046 individuals identifies 11 new susceptibility loci for Alzheimer's disease. nameOfConference


    QMRO: qmroHref
  • Harold D, Abraham R, Hollingworth P et al. (2013). Erratum: Genome-wide association study identifies variants at CLU and PICALM associated with Alzheimer's disease. nameOfConference


    QMRO: qmroHref
  • Seto W-K, Wong DK-H, Kopaniszen M et al. (2013). HLA-DP and IL28B Polymorphisms: Influence of Host Genome on Hepatitis B Surface Antigen Seroclearance in Chronic Hepatitis B. nameOfConference


    QMRO: qmroHref
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Supervision

Dorsa Abdolkarimi, MRC DTP PhD, “Identifying signatures of blood proteins predicting incident of dementia.”

Sara Metelo Calhas Ferreira, Wellcome Trust HDiP, “Individualised risk prediction for dementia: deriving actionable information from multimodal health data.”

Lachlan Gilchrist, KCL Drive-Health CDT PhD, “Investigating the genetic and molecular overlap between Alzheimer’s disease and depression.” (Second supervisor)

 

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